{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![alt text](https://github.com/callysto/callysto-sample-notebooks/blob/master/notebooks/images/Callysto_Notebook-Banner_Top_06.06.18.jpg?raw=true)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Here's a mystery sequence: 1, 1, 2, 3, 5, 8, 13, 21, 34, X, Y\n",
    "### Based on this pattern, see if you can you figure out the next two terms: X and Y."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def f(n):\n",
    "    if n <= 2: return 1\n",
    "    else: return f(n-1)+f(n-2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610]\n"
     ]
    }
   ],
   "source": [
    "print([f(1),f(2),f(3),f(4),f(5),f(6),f(7),f(8),f(9),f(10),f(11),f(12),f(13),f(14),f(15)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 55, 610, 6765, 75025]\n"
     ]
    }
   ],
   "source": [
    "print([f(5),f(10),f(15),f(20),f(25)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Counting Routes Problem\n",
    "## Let's count the number of routes from the bottom-left square to the top-right square\n",
    "### Solve this problem for both the 4x4 board and the 5x5 board"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "<table><tr><td><img src='https://i.stack.imgur.com/YK08Gm.png?raw=true'></td><td><img src='https://i.stack.imgur.com/IfEhXm.png?raw=true'></td></tr></table>\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "def routes(x,y):\n",
    "    if x == 1: \n",
    "        return 1\n",
    "    elif y == 1:\n",
    "        return 1\n",
    "    else:\n",
    "        return routes(x-1,y)+routes(x,y-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "48620"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "routes(8,8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 5, 15, 35, 70]\n",
      "[1, 4, 10, 20, 35]\n",
      "[1, 3, 6, 10, 15]\n",
      "[1, 2, 3, 4, 5]\n",
      "[1, 1, 1, 1, 1]\n"
     ]
    }
   ],
   "source": [
    "for x in (5,4,3,2,1):\n",
    "    print([routes(x, y) for y in [1,2,3,4,5]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Real-Life Applications of Recursion\n",
    "## We are solving hard problems by combining solutions to problems we've already solved.\n",
    "### See if you can figure out all the ways that recursion is used in the following video."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": "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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/cdgQpa1pUUE\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7fbb3c454c18>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import YouTubeVideo\n",
    "YouTubeVideo('cdgQpa1pUUE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![alt text](https://github.com/callysto/callysto-sample-notebooks/blob/master/notebooks/images/Callysto_Notebook-Banners_Bottom_06.06.18.jpg?raw=true)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
